Gershwin Me

37 total papers · 416 total citations
32 papers, 342 citations indexed

About

Gershwin Me is a scholar working on Hematology, Rheumatology and Immunology. According to data from OpenAlex, Gershwin Me has authored 32 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 5 papers in Rheumatology and 5 papers in Immunology. Recurrent topics in Gershwin Me's work include Systemic Lupus Erythematosus Research (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Gershwin Me is often cited by papers focused on Systemic Lupus Erythematosus Research (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Gershwin Me collaborates with scholars based in United States, Australia and Italy. Gershwin Me's co-authors include Steĭnberg Ad, Carla W. Brady, CL Keen, French Sw, L. S. Hurley, Bo Lönnerdal, Elizabeth M. Smithwick, Boris H. Ruebner, Kenneth Dorshkind and M. Shifrine and has published in prestigious journals such as Annals of Internal Medicine, Europe PMC (PubMed Central) and PubMed.

In The Last Decade

Gershwin Me

31 papers receiving 312 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gershwin Me 121 82 70 46 42 32 342
Š Nyulassy 90 0.7× 99 1.2× 36 0.5× 35 0.8× 57 1.4× 29 376
Philippe Mertz 191 1.6× 148 1.8× 59 0.8× 27 0.6× 34 0.8× 29 354
P Parichatikanond 163 1.3× 58 0.7× 34 0.5× 25 0.5× 53 1.3× 37 375
Dominik Majewski 117 1.0× 95 1.2× 39 0.6× 29 0.6× 88 2.1× 31 322
Hideaki Kaneshige 49 0.4× 130 1.6× 60 0.9× 39 0.8× 64 1.5× 36 383
Katja Perdan Pirkmajer 131 1.1× 80 1.0× 26 0.4× 83 1.8× 91 2.2× 25 335
Shashi Anand 115 1.0× 117 1.4× 61 0.9× 14 0.3× 42 1.0× 44 367
Sergio Cerpa‐Cruz 134 1.1× 157 1.9× 51 0.7× 23 0.5× 43 1.0× 53 367
John Webb 175 1.4× 61 0.7× 27 0.4× 22 0.5× 30 0.7× 31 387
Lidia La Barbera 109 0.9× 147 1.8× 28 0.4× 45 1.0× 89 2.1× 25 325

Countries citing papers authored by Gershwin Me

Since Specialization
Citations

This map shows the geographic impact of Gershwin Me's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gershwin Me with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gershwin Me more than expected).

Fields of papers citing papers by Gershwin Me

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gershwin Me. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gershwin Me. The network helps show where Gershwin Me may publish in the future.

Co-authorship network of co-authors of Gershwin Me

This figure shows the co-authorship network connecting the top 25 collaborators of Gershwin Me. A scholar is included among the top collaborators of Gershwin Me based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gershwin Me. Gershwin Me is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026